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Journal Radioengineering №11 for 2024 г.
Article in number:
The application of the non-quadratic regularization method for direction finding and adaptive signal processing
Type of article: scientific article
DOI: 10.18127/j00338486-202411-03
UDC: 621.396
Authors:

N.М. Ivanov1

1 JSC «All-Russian Scientific Research Institute «Gradient» (Rostov-on-Don, Russia)

1 qkivanov@list.ru

Abstract:

The paper considers the issues of detection, spatial localization, and isolation of individual radio signals from their additive mixture received by the elements of an antenna array with digital signal processing. To solve the above issues, the method of non-quadratic regularization is applied in the signal model, which takes into account signal delays on the antenna array elements to a first approximation. Using the Lagrange multiplier method, the adaptive estimates of signals were obtained and a direction finding function was constructed. The function maxima are identified with the directions to the radiation sources. An effective method for iterative solution of the problem in Lp space for any p values is proposed. The simulation results are set out for p = 1, demonstrating the possibility of detecting and estimating the parameters of weak signals. The signal level does not exceed the noise and interference level against the background of interfering intense radiation sources. The proposed method can significantly increase the effectiveness of solving problems of detecting and direction finding signals from stationary objects and tracking mobile objects both in the traditional single-site radio monitoring systems and passive location radio systems.

Pages: 13-19
For citation

Ivanov N.М. The application of the non-quadratic regularization method for direction finding and adaptive signal processing. Radioengineering. 2024. V. 88. № 11. P. 13−19. DOI: https://doi.org/10.18127/j00338486-202411-03 (in Russian)

References
  1. Johnson D.H. The Application of Spectral Estimation Methods to Bearing Estimation Problems. Proceedings of the IEEE. 1982. V. 70. № 9. P. 1018−1028.
  2. Monzigo R.A., Miller T.U. Adaptivnye antennye reshetki. Vvedenie v teoriyu. M.: Radio i svyaz. 1986. 448 s. (in Russian)
  3. Karavaev V.V., Sazonov V.V. Statisticheskaya teoriya passivnoi lokatsii. M.: Radio i svyaz. 1987. 240 s. (in Russian)
  4. Griffiths H.; Baker C. An Introduction to Passive Radar. Artech House: Norwood. MA. USA. 2022. 310 p.
  5. Colone F., O'Hagan D.W., Lombardo P., Baker C.J. Multistage Processing Algorithm for Disturbance Removal and Target Detection in Passive Bistatic Radar. IEEE Trans. Aerospace and Electron. Syst. 2009. V. 45. № 2. P. 698−722.
  6. Barkhatov A.V., Veremev V.I., Vorobev E.N. i dr. Passivnaya kogerentnaya radiolokatsiya. SPb.: Izd-vo SPbGETU "LETI". 2016. 163 s. (in Russian)
  7. Cetin M., Malioutov D.M., Willsky A.S. A Sparse Signal Reconstruction Perspective for Source Localization With Sensor Arrays. IEEE Transactions on signal processing. 2005. V. 53. № 8. P. 3010−3022.
  8. Ciucia P., Ider J. A half-quadratic block-coordinate descent method for spectral estimation. Signal processing. 2002. V. 82. P. 941−959.
  9. Marques E.C., Maciel N., Naviner L., Cai H., Yang J. A Review of Sparse Recovery Algorithms. IEEE Access. Special section on theory, algorithms and applications of sparse recovery. 2019. V. 7. P. 1300−1322.
  10. Ivanov N.M. Prostranstvennoe razreshenie istochnikov polyarizovannogo elektromagnitnogo polya metodom nekvadratichnoi regulyarizatsii. Radiotekhnika i elektronika. 2011. T. 56. № 7. S. 808−815. (in Russian)
  11. Shevchenko V.N., Ivanov N.M., Zvezdina Yu.A. Metod nekvadratichnoi regulyarizatsii prostranstvennykh spektrov s filtratsiei lozhnykh sostavlyayushchikh. Avtometriya. 2007. T. 43. № 1. S. 3−9. (in Russian)
  12. Radiotekhnicheskie sistemy. Pod red. Yu.M. Kazarinova. M: Izdatelskii tsentr "Akademiya". 2008. 593 s. (in Russian)
  13. Ivanov N.M., Shevchenko V.N. Adaptivnaya obrabotka sovokupnosti signalov v antennykh reshetkakh s rasshirennoi polosoi priema. Izvestiya vuzov. Radiofizika. 2022. T. LXV. № 12. S. 1015−1026. (in Russian)
Date of receipt: 02.10.2024
Approved after review: 09.10.2024
Accepted for publication: 21.10.2024